ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning into .NET applications. In this session we explore the capabilities, pitfalls, and alternatives of running full machine learning scenarios on your local .NET stack: from defining and training a model, to evaluating, deploying, and eventually running it.

The session targets a C# developer audience, but there will be takeaways for business analysts and data scientists too.